IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/79734.html
   My bibliography  Save this paper

Farrukh

Author

Listed:
  • Mahmood, Farrukh

Abstract

“What is data and what it means” can only be understood by using Visualisation. Visualization helps us to observe whether data is according to economic theory or not, and also hilight different issues within data as well. By employing visualization, we found only a few series upon which, we can really apply co-integration. Furthermore, co-integration equation of Wang and Lee (2009) found misspecified due to ARCH effect. After adjusting it, we found significantly different results for the co-integration (for same data set). This significant difference is not only in empirical models but also in implication as well. For example, in the case of the US, we found a complete pass through for the deposit rate model.

Suggested Citation

  • Mahmood, Farrukh, 2017. "Farrukh," MPRA Paper 79734, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:79734
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/79734/1/MPRA_paper_79734.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Neumark & Steven A. Sharpe, 1992. "Market Structure and the Nature of Price Rigidity: Evidence from the Market for Consumer Deposits," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 657-680.
    2. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    3. repec:dgr:rugccs:200206 is not listed on IDEAS
    4. Ben S. Bernanke, 1990. "On the predictive power of interest rates and interest rate spreads," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 51-68.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. Ana-Maria Fuertes & Shelagh A. Heffernan, 2009. "Interest rate transmission in the UK: a comparative analysis across financial firms and products," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(1), pages 45-63.
    7. Wang, Kuan-Min & Lee, Yuan-Ming, 2009. "Market volatility and retail interest rate pass-through," Economic Modelling, Elsevier, vol. 26(6), pages 1270-1282, November.
    8. de Bondt, Gabe, 2002. "Retail bank interest rate pass-through: new evidence at the euro area level," Working Paper Series 136, European Central Bank.
    9. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    10. Toolsema, Linda A. & Sturm, Jan-Egbert & Haan, Jakob de, 2002. "Convergence of pass-through from money market to lending rates in EMU countries: new evidence," CCSO Working Papers 200206, University of Groningen, CCSO Centre for Economic Research.
    11. Don Bredin & Trevor Fitzpatrick & Gerard O Reilly, 2002. "Retail Interest Rate Pass-Through - The Irish Experience," The Economic and Social Review, Economic and Social Studies, vol. 33(2), pages 223-246.
    12. Alexakis, Panayotis & Apergis, Nicholas, 1996. "ARCH effects and cointegration: Is the foreign exchange market efficient?," Journal of Banking & Finance, Elsevier, vol. 20(4), pages 687-697, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Kuan-Min & Lee, Yuan-Ming, 2009. "Market volatility and retail interest rate pass-through," Economic Modelling, Elsevier, vol. 26(6), pages 1270-1282, November.
    2. Gianluca Di Lorenzo & Giuseppe Marotta, 2006. "Multiple breaks in lending rate pass-through A cross country study for the euro area," Heterogeneity and monetary policy 0602, Universita di Modena e Reggio Emilia, Dipartimento di Economia Politica.
    3. Kuan-Min Wang, 2010. "Expected and Unexpected Impulses of Monetary Policy on the Interest Pass-Through Mechanism in Asian Countries," Annals of Economics and Finance, Society for AEF, vol. 11(1), pages 95-137, May.
    4. Marotta, Giuseppe, 2009. "Structural breaks in the lending interest rate pass-through and the euro," Economic Modelling, Elsevier, vol. 26(1), pages 191-205, January.
    5. Francesco Guidi, 2009. "Volatility and Long-Term Relations in Equity Markets: Empirical Evidence from Germany, Switzerland, and the UK," The IUP Journal of Financial Economics, IUP Publications, vol. 0(2), pages 7-39, June.
    6. Noura Abu Asab & Juan Carlos Cuestas, 2015. "Towards Adopting Inflation Targeting in Emerging Markets: The (A)symmetric Transmission Mechanism in Jordan," Working Papers 2015013, The University of Sheffield, Department of Economics.
    7. Aristei, David & Gallo, Manuela, 2014. "Interest rate pass-through in the Euro area during the financial crisis: A multivariate regime-switching approach," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 273-295.
    8. Nahid Kalbasi Anaraki, 2021. "Federal Funds Rate Spillover to ECB Interest Rate: Are Macroeconomic Fundamentals Important?," International Journal of Applied Economics, Finance and Accounting, Online Academic Press, vol. 9(1), pages 40-47.
    9. Michiel van Leuvensteijn & Christoffer Kok Sørensen & Jacob A. Bikker & Adrian A.R.J.M. van Rixtel, 2013. "Impact of bank competition on the interest rate pass-through in the euro area," Applied Economics, Taylor & Francis Journals, vol. 45(11), pages 1359-1380, April.
    10. Illes, Anamaria & Lombardi, Marco J. & Mizen, Paul, 2019. "The divergence of bank lending rates from policy rates after the financial crisis: The role of bank funding costs," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 117-141.
    11. Karagiannis, Stelios & Panagopoulos, Yannis & Vlamis, Prodromos, 2010. "Interest rate pass-through in Europe and the US: Monetary policy after the financial crisis," Journal of Policy Modeling, Elsevier, vol. 32(3), pages 323-338, May.
    12. Chionis, Dionysios P. & Leon, Costas A., 2006. "Interest rate transmission in Greece: Did EMU cause a structural break?," Journal of Policy Modeling, Elsevier, vol. 28(4), pages 453-466, May.
    13. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 165-185, June.
    14. Ghysels, E. & Harvey, A. & Renault, E., 1995. "Stochastic Volatility," Papers 95.400, Toulouse - GREMAQ.
    15. Krämer Walter, 2002. "Statistische Besonderheiten von Finanzzeitreihen / Statistical Properties of Financial Time Series," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 222(2), pages 210-229, April.
    16. Andries, Natalia & Billon, Steve, 2016. "Retail bank interest rate pass-through in the euro area: An empirical survey," Economic Systems, Elsevier, vol. 40(1), pages 170-194.
    17. P., Srinivasan, 2011. "Price Discovery and Volatility Spillovers in Indian Spot-Futures Commodity Market," MPRA Paper 47412, University Library of Munich, Germany.
    18. Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038, Elsevier.
    19. María Torrado & Álvaro Escribano, 2020. "European gasoline markets: price transmission asymmetries in mean and variance," Applied Economics, Taylor & Francis Journals, vol. 52(42), pages 4621-4638, September.
    20. Philip, Dennis & Shi, Yukun, 2016. "Optimal hedging in carbon emission markets using Markov regime switching models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 1-15.

    More about this item

    Keywords

    Data visualization; Co-integration; ARCH effect; Model specification; interest rate pass through;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:79734. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.